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Báo cáo hóa học: "Research Article Fuzzy Mode Enhancement and Detection for Color Image Segmentation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Fuzzy Mode Enhancement and Detection for Color Image Segmentation | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 542378 19 pages doi 10.1155 2008 542378 Research Article Fuzzy Mode Enhancement and Detection for Color Image Segmentation Olivier Losson Claudine Botte-Lecocq and Ludovic Macaire Laboratoire LAGIS CNRS UMR 8146 Universite des Sciences et Technologies de Lille Bailment P2 Cite Scientifique 59655 Villeneuve d Ascq Cedex France Correspondence should be addressed to Olivier Losson olivier.losson@univ-lille.fr Received 20 July 2007 Revised 30 November 2007 Accepted 27 January 2008 Recommended by Konstantinos Plataniotis This work lies within the scope of color image segmentation by pixel classification. The classes of pixels are constructed by detecting the modes of the spatial-color compactness function which characterizes the image by taking into account both the distribution of colors in the color space and their spatial location in the image plane. A fuzzy transformation of this function is performed based on fuzzy morphological operators specifically designed for mode detection. Experimental segmentation results using several synthetic and benchmark images show the interest of the proposed method. Copyright 2008 Olivier Losson et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Color image segmentation consists in partitioning the pixels of an image into separate regions which are groups of connected pixels with homogeneous color properties. Among low-level image processing tasks segmentation is one of the most challenging and addressed issues. Indeed this step is crucial in many applications requiring region and object identification in the scene as in content-based image retrieval schemes object-based video coding and so on. Color image segmentation is classically achieved by an .